基于药品监测大数据的儿童医院用药分析与建议

Analysis and Suggestion of Medication in Children's Hospital Based on Data from National Drug Utilization Monitoring System

目的利用药品使用监测等数据完成针对儿童用药的基药目录调整实践探索,为基药目录调整提供政策建议。方法对药品使用监测数据进行深度挖掘和多维度分析,聚焦问题,引入模型,通过筛选与计算,筛查目标药品。结果利用国家药品使用监测系统的海量数据,完成了40所儿童医院的药品使用分析,设计并完善了针对儿童用药的基药目录调整模型的测算维度表。通过实践探索,筛查出阿奇霉素和哌拉西林他䂳巴坦作为目标药品,并提出针对儿童用药的适宜剂型和规格。结论依托新一代信息技术,开展多维度药物政策分析,充分利用医药大数据,逐步构建与完善针对儿童用药的基药目录调整模型,不但在技术上是可行的,在业务上也是必需的。

Objective This paper will launch practical exploration for adjusting National Essential Drug List for Children based on data from National Drug Utilization Monitoring System and will offer policy recommendations on adjustment of National Essential Drug List.Methods In this research,methods of deep mining and dimensional analysis of data from National Drug Utilization Monitoring System will be induced.Some realistic problems will be focused and an analysis model will be introduced.At last,screening and calculation will be used to find some target drugs.Results This research has analyzed drug utilization situation in 40 pediatric hospitals based on data from the National Drug Utilization Monitoring System.In this paper,authors design and optimize a the measurement dimension table for the adjustment model of National Essential Drugs for Children,screen out Azithromycin and Piperacillin-sulbactam as target drugs though practical exploration and suggest to select appropriate dosage forms and specifications when adjusting National Essential Drug List for Children.Conclusion Backing by gradually maturing information technologies,it is not only viable on technical level but also necessary on business level to carry out dimensional drug policy analysis and make full use of medical big data to gradually develop and optimize the adjustment model of National Essential Drugs for children.